etl/elt integration library



Project teams can use the AnalytiX Mapping Manager® to customize and export their mapping specifications into an ETL job library built on best practices by using the Mapping Manager’s XML Integration Library.


Our services team will work with your ETL experts to custom build the ETL integration library for your organization.


These custom ‘pattern-based’ templates will allow you to standardize the ETL Job Design within your organization and ensure consistent use of ETL job design best practices and standards (defined by your ETL Experts).






















The XML Integration library export capabilities will result in your ETL jobs to be built from the foundation using job design best practices. Every export of the data mappings from AMM to your ETL tool of choice will be exported using your project team’s best practices for design patterns. This will result in:


  • Accelerated ETL development by reduced work by ETL Teams
  • Consistent use of ETL Job design best practices and standards from the onset of any integration project.
  • Increased standards and quality of integration projects
  • Reduced risk and rework surrounding inconsistent coding standards








Integrate your mapping specifications with leading ETL tools by choosing your custom library deployment option


The custom library will allow you to customize and standardize your XML integration templates for pattern based mappings by creating templates and then exporting mappings and then selecting which design template to apply. For example you may want to have different design patterns for:


  • Standard Data Migration Jobs
  • ODS or Staging Job (with change data capture)
  • Type 1 Dimension Jobs
  • Type 2 Dimension Jobs
  • Type 3 Dimension jobs
  • Fact Table Load Jobs










Any other job you can imagine where you want to standardize design patterns and apply consistent standards such as job control and error handling etc.

The Mapping Manager toolset enables automation, acceleration, best practices and data mapping standards for any project involving movement of data.

— John R. Talbert Ph.D, - University of Arkansas at Little Rock, College of Information Science and Systems Engineering & Director